Wrapper induction: Efficiency and expressiveness

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Wrapper induction: Efficiency and expressiveness

The Internet presents numerous sources of useful information—telephone directories, product catalogs, stock quotes, event listings, etc. Recently, many systems have been built that automatically gather and manipulate such information on a user’s behalf. However, these resources are usually formatted for use by people (e.g., the relevant content is embedded in HTML pages), so extracting their co...

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Wrapper induction : Efficiency and expressiveness ( Extended abstract )

Recently, many systems have been built that automatically interact with Internet information resources. However, these resources are usually formatted for use by people; e.g., the relevant content is embedded in HTML pages. Wrappers are often used to extract a resource’s content, but hand-coding wrappers is tedious and error-prone. We advocate wrapper induction, a technique for automatically co...

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There is much interest in systems that automatically interact with Internet information sites. Such systems are hard to build, partly because they use hand-crafted wrappers to extract a site’s content. We advocate wrapper induction, a technique for automatically learning wrappers. Our wrapper induction e_~nvironment (WIEN) enables users quickly capture a set of example page; our wrapper learnin...

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Recent work in machine learning for information extraction has focused on two distinct sub-problems: the conventional problem of filling template slots from natural language text, and the problem of wrapper induction, learning simple extraction procedures (“wrappers”) for highly structured text such as Web pages produced by CGI scripts. For suitably regular domains, existing wrapper induction a...

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ژورنال

عنوان ژورنال: Artificial Intelligence

سال: 2000

ISSN: 0004-3702

DOI: 10.1016/s0004-3702(99)00100-9